Materials Map

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The Materials Map is an open tool for improving networking and interdisciplinary exchange within materials research. It enables cross-database search for cooperation and network partners and discovering of the research landscape.

The dashboard provides detailed information about the selected scientist, e.g. publications. The dashboard can be filtered and shows the relationship to co-authors in different diagrams. In addition, a link is provided to find contact information.

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The Materials Map is still under development. In its current state, it is only based on one single data source and, thus, incomplete and contains duplicates. We are working on incorporating new open data sources like ORCID to improve the quality and the timeliness of our data. We will update Materials Map as soon as possible and kindly ask for your patience.

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in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (1/1 displayed)

  • 2022Testing CMB Anomalies in E-mode Polarization with Current and Future Datacitations

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Espinoza, Francisco
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Wollack, Edward
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Shi, Rui
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Cleary, Joseph
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Eimer, Joseph
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Datta, Rahul
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Marriage, Tobias A.
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Miller, Nathan J.
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Appel, John W.
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Valle, Deniz A. N.
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2022

Co-Authors (by relevance)

  • Espinoza, Francisco
  • Wollack, Edward
  • Shi, Rui
  • Cleary, Joseph
  • Eimer, Joseph
  • Datta, Rahul
  • Marriage, Tobias A.
  • Miller, Nathan J.
  • Appel, John W.
  • Li, Yunyang
  • Bennett, Charles L.
  • Chuss, David T.
  • Valle, Deniz A. N.
  • Petroff, Matthew A.
  • Núñez, Carolina
  • Padilla, Ivan L.
  • Dahal, Sumit
OrganizationsLocationPeople

document

Testing CMB Anomalies in E-mode Polarization with Current and Future Data

  • Espinoza, Francisco
  • Wollack, Edward
  • Shi, Rui
  • Cleary, Joseph
  • Eimer, Joseph
  • Datta, Rahul
  • Marriage, Tobias A.
  • Miller, Nathan J.
  • Appel, John W.
  • Li, Yunyang
  • Bennett, Charles L.
  • Chuss, David T.
  • Valle, Deniz A. N.
  • Petroff, Matthew A.
  • Núñez, Carolina
  • Padilla, Ivan L.
  • Xu, Zhilei
  • Dahal, Sumit
Abstract

In this paper, we explore the power of the cosmic microwave background (CMB) polarization (E-mode) data to corroborate four potential anomalies in CMB temperature data: the lack of large angular-scale correlations, the alignment of the quadrupole and octupole (Q-O), the point-parity asymmetry, and the hemispherical power asymmetry. We use CMB simulations with noise representative of three experiments -- the Planck satellite, the Cosmology Large Angular Scale Surveyor (CLASS), and the LiteBIRD satellite -- to test how current and future data constrain the anomalies. We find the correlation coefficientsbetween temperature and E-mode estimators to be less than $0.1$, except for the point-parity asymmetry ($=0.17$ for cosmic-variance-limited simulations), confirming that E-modes provide a check on the anomalies that is largely independent of temperature data. Compared to Planck component-separated CMB data (SMICA), the putative LiteBIRD survey would reduce errors on E-mode anomaly estimators by factors of $ 3$ for hemispherical power asymmetry and point-parity asymmetry, and by $ 26$ for lack of large-scale correlation. The improvement in Q-O alignment is not obvious due to large cosmic variance, but we found the ability to pin down the estimator value will be improved by a factor . Improvements with CLASS are intermediate to these.

Topics
  • impedance spectroscopy
  • experiment
  • simulation
  • laser emission spectroscopy